Laser communication control methods, equipment, storage media and software products

Abstract

This application provides a laser communication control method, device, storage medium, and program product. The method acquires first data, including channel state data and environmental data. The channel state data includes at least one of received optical power, beam drift, bit error rate, and visibility. The environmental data includes at least one of meteorological data and electromagnetic interference data. Based on the first data, it determines a link quality prediction level and interference type. The link quality prediction level characterizes the link quality change trend within a preset time period, assuming current communication parameters remain unchanged. Based on the interference type, it matches an anti-interference strategy, including one or more algorithms, from an anti-interference algorithm library. It determines a basic communication parameter set according to the link quality prediction level and adapts it to the anti-interference strategy to obtain second communication parameters. Finally, it generates communication control commands. This method enables proactive prediction of laser communication links, collaborative processing of multiple interferences, and adaptive optimization, ensuring stable, efficient, and reliable communication.

Description

Technical Field

[0001] This application relates to the field of laser communication technology, and in particular to a laser communication control method, device, storage medium, and program product. Background Technology

[0002] Laser communication control is a technical process that uses sophisticated hardware and software systems to monitor and dynamically adjust the core parameters of the laser link, such as pointing, power, and encoding, in real time. Its essence is to actively counteract channel disturbances to maintain the optimal transmission state, providing core guarantees for the reliable establishment, efficient operation, and intelligent optimization of the communication link. It is an indispensable key enabling link in modern free-space optical communication systems.

[0003] In related technologies, manual intervention is usually used to adjust the parameters of laser communication links, and a passive response mechanism of "error detection-parameter adjustment" is often adopted. However, the adjustment cycle is long, it only targets a single type of interference, and it lacks the ability to actively predict link quality, resulting in low communication stability. Summary of the Invention

[0004] This application provides a laser communication control method, device, storage medium, and program product to improve the stability of laser communication control.

[0005] In a first aspect, embodiments of this application provide a laser communication control method, including:

[0006] Acquire first data; the first data includes channel state data and environmental data; the channel state data includes at least one of the following: received optical power, beam drift, bit error rate, and visibility; the environmental data includes at least one of the following: meteorological data and electromagnetic interference data;

[0007] Based on the first data, determine the link quality prediction level and interference type; the link quality prediction level represents the link quality change trend if the current first communication parameter remains unchanged within a preset time period in the future.

[0008] Anti-interference strategies are obtained by matching from a pre-defined anti-interference algorithm library based on the type of interference; the anti-interference strategy includes one or more anti-interference algorithms.

[0009] The basic communication parameter set is determined based on the link quality prediction level. The basic communication parameter set is adapted according to the anti-interference strategy to obtain the second communication parameter. Communication control commands are generated based on the second communication parameter.

[0010] In one possible design, based on the initial data, the predicted link quality level and interference type are determined, including:

[0011] The type of interference is determined based on the first data; the first data is input into the first prediction model to obtain the predicted link quality level;

[0012] Alternatively, the first data can be input into the second prediction model to obtain the prediction results; the prediction results include the link quality prediction level and the type of interference.

[0013] In one possible design, channel state data includes beam drift, received optical power, and bit error rate; the type of interference is determined based on the first data, including:

[0014] If the channel state data includes beam drift, and the duration of the beam drift being greater than the first preset threshold is greater than the first preset duration, then the interference type is determined to include atmospheric turbulence interference.

[0015] If the channel state data includes received optical power, and the received optical power is greater than the second preset threshold, and the current visibility is less than the third preset threshold, then the interference type is determined to include weather attenuation interference type.

[0016] If the channel state data includes the bit error rate, and the bit error rate jump amplitude within the first time window is greater than the fourth preset threshold, the fluctuation amplitude of the received optical power is less than the fifth preset threshold, and the beam drift is less than the first preset threshold, then the interference type is determined to include electromagnetic interference.

[0017] In one possible design, the anti-interference algorithm library includes adaptive optics phase compensation algorithms corresponding to atmospheric turbulence interference types, power adaptive enhancement algorithms corresponding to meteorological attenuation interference types, and channel coding enhancement algorithms corresponding to electromagnetic interference types. Anti-interference strategies are obtained by matching from a pre-defined anti-interference algorithm library based on the interference type, including:

[0018] If the interference type includes atmospheric turbulence interference and meteorological attenuation interference, the anti-interference strategy includes adaptive optics phase compensation algorithm and power adaptive enhancement algorithm.

[0019] If the interference types include atmospheric turbulence interference, meteorological attenuation interference, and electromagnetic interference, then the anti-interference strategies include adaptive optics phase compensation algorithm, power adaptive enhancement algorithm, and channel coding enhancement algorithm.

[0020] In one possible design, a basic communication parameter set is determined based on the predicted link quality level. This basic communication parameter set is then adapted according to an anti-interference strategy to obtain second communication parameters, including:

[0021] Obtain the preset parameter mapping relationship; the parameter mapping relationship includes the first correspondence between multiple link quality prediction levels and multiple basic parameter communication sets, and the second correspondence between multiple anti-interference strategies and adaptation operations; the basic parameter communication set includes at least the basic modulation method, basic coding rate and basic transmit power; the adaptation operation is used to adjust the basic parameter communication set;

[0022] Based on the first correspondence, the basic communication parameter set is determined according to the link quality prediction level;

[0023] Based on the second correspondence, the basic communication parameter set is adapted according to the anti-interference strategy to obtain the second communication parameters.

[0024] In one possible design, based on the second correspondence, the basic communication parameter set is adapted according to the anti-interference strategy to obtain the second communication parameters, including:

[0025] If the anti-interference strategy includes a power adaptive enhancement algorithm corresponding to the meteorological attenuation interference type, then the transmit power level in the basic communication parameter set will be adjusted to the third transmit power level; the third transmit power is greater than the basic transmit power.

[0026] If the anti-interference strategy includes coding enhancement algorithms corresponding to electromagnetic interference types, then the coding method in the basic communication parameter set will be adapted to a concatenated coding algorithm of turbine code and parity check code.

[0027] If the anti-interference strategy includes an adaptive optics phase compensation algorithm corresponding to the atmospheric turbulence interference type, then a phase correction control command is generated based on the beam drift.

[0028] If the anti-interference strategy includes multiple algorithms, the basic communication parameter set is adjusted based on preset rules; the preset rules include at least one of the following:

[0029] The adjustment priority of the channel coding enhancement algorithm is higher than that of the power adaptive enhancement algorithm;

[0030] The maximum power among the transmission powers corresponding to each algorithm is used as the transmission power in the second communication parameter;

[0031] The encoding method with the strongest anti-interference capability among the encoding methods corresponding to each algorithm is used as the encoding method in the second communication parameter.

[0032] In one possible design, based on the first correspondence, the basic communication parameter set is determined according to the predicted link quality level, including:

[0033] If the link quality prediction level is Level 1, the corresponding basic communication parameter set includes orthogonal amplitude modulation method, first coding rate and first transmit power;

[0034] If the link quality prediction level is level two, the corresponding basic communication parameter set includes phase shift keying modulation mode, second coding rate and second transmit power; the first coding rate is greater than the second coding rate; the first transmit power is less than the second transmit power.

[0035] Secondly, embodiments of this application provide a laser communication control device, comprising:

[0036] The acquisition module is used to obtain the first data and determine the link quality prediction level and anti-interference type. The link quality prediction level represents the link quality change trend if the current first communication parameter remains unchanged within a preset time period in the future.

[0037] The prediction module is used to determine the link quality prediction level and anti-interference type based on the first data. The link quality prediction level represents the link quality change trend if the current first communication parameters remain unchanged within a preset time period in the future.

[0038] The anti-interference module is used to match the interference type from a preset anti-interference algorithm library to obtain an anti-interference strategy; the anti-interference strategy includes one or more anti-interference algorithms.

[0039] The processing module is used to determine the basic communication parameter set based on the link quality prediction level, adapt the basic communication parameter set according to the anti-interference strategy, obtain the second communication parameters, and generate communication control commands based on the second communication parameters.

[0040] Thirdly, embodiments of this application provide a laser communication control device, including: at least one processor and a memory;

[0041] The memory stores the instructions that the computer executes;

[0042] At least one processor executes computer execution instructions stored in memory, causing at least one processor to perform the methods described in the first aspect above and various possible designs of the first aspect.

[0043] Fourthly, embodiments of this application provide a laser communication system, including: a sensor, an environmental detection device, a laser communication device, and a laser communication control device as described in the third aspect; the sensor is used to collect channel state data; the environmental detection device is used to collect environmental data; the laser communication control device is connected to the sensor and the environmental detection device and is used to generate communication control commands based on the channel state data and the environmental data; the laser communication device is connected to the laser communication control device and is used to perform data communication based on the communication control commands.

[0044] Fifthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the methods described in the first aspect and various possible designs of the first aspect.

[0045] In a sixth aspect, embodiments of this application provide a computer program product, including a computer program, which, when executed by a processor, implements the first aspect and various possible designs of the first aspect as described above.

[0046] This embodiment provides a laser communication control method, device, storage medium, and program product. The method collects first data composed of channel state data and environmental data to predict future trends in link quality and identify interference types. It can respond in advance before communication degradation occurs, significantly improving the stability and anti-interference capability of laser communication in complex environments. By matching corresponding anti-interference algorithms based on interference types and forming a combined strategy, it achieves precise suppression of different interferences, avoiding the problem of insufficient adaptability of single anti-interference methods. Finally, it determines basic communication parameters based on the predicted link quality level and adaptively adapts and optimizes the parameters according to the anti-interference strategy, generating targeted communication control commands, thereby achieving efficient, robust, and adaptive closed-loop control of laser communication. Attached Figure Description

[0047] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0048] Figure 1 This is a schematic diagram illustrating an application scenario of the laser communication control method provided in the embodiments of this application;

[0049] Figure 2 A flowchart illustrating the laser communication control method provided in the embodiments of this application. Figure 1 ;

[0050] Figure 3 This is a schematic diagram illustrating the working principle of the laser communication control method according to an embodiment of this application;

[0051] Figure 4 A flowchart illustrating the laser communication control method provided in the embodiments of this application. Figure 2 ;

[0052] Figure 5 This is a schematic diagram of the structure of the laser communication control device provided in the embodiments of this application;

[0053] Figure 6 This is a schematic diagram of the hardware structure of a laser communication device provided in an embodiment of this application.

[0054] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0056] It should be noted that the laser communication control method, device, storage medium and program product provided in this application can be used in the field of laser communication control, or in any field other than laser communication control. The application field of the laser communication control method, device, storage medium and program product provided in this application is not limited.

[0057] Laser communication technology has advantages such as large bandwidth, strong resistance to electromagnetic interference, and high signal security, and has been widely used in inter-satellite communication, long-distance ground data transmission, and emergency communication.

[0058] For example, in satellite communication scenarios, laser communication can achieve high-speed data backhaul between satellites, meeting the real-time transmission needs of large-capacity information such as remote sensing data and navigation signals; in terrestrial communication scenarios, laser communication is often used for highly confidential data transmission across seas or cities, which can replace traditional fiber optic deployment methods and solve the problem of geographical limitations; in emergency communication scenarios, laser communication equipment can quickly establish temporary communication links to provide reliable communication guarantees.

[0059] In related technologies, laser communication link control is mainly achieved through manual intervention and adjustment, passive response parameter adaptation, and single anti-interference algorithms.

[0060] However, the above methods have drawbacks such as excessive reliance on manual intervention, long parameter adjustment cycles, slow response, and a single anti-interference algorithm. In addition, they lack the ability to process multiple types of interference in a coordinated manner and cannot actively predict link quality. These drawbacks can easily lead to communication interruptions, decreased system stability, and a higher bit error rate in complex environments.

[0061] To address the aforementioned technical problems, the inventors of this application have discovered that by acquiring channel state data and environmental data, link quality prediction and interference identification can be achieved, corresponding anti-interference strategies can be matched, and communication parameters can be dynamically adjusted through a parameter mapping library. This solves the problems of manual dependence, response lag, and insufficient anti-interference capability, ensuring stable and efficient communication. Based on this, embodiments of this application provide a laser communication control method.

[0062] Figure 1 This is a schematic diagram illustrating an application scenario of the laser communication control method provided in the embodiments of this application. For example... Figure 1As shown, the laser communication control system may include an environmental monitoring device 101, a laser communication parameter sensor 102, a laser communication control device 103, and a laser communication device 104. The environmental monitoring device 101 is used to acquire environmental data, the laser communication parameter sensor 102 is used to collect channel status data, and both the environmental monitoring device 101 and the laser communication parameter sensor 102 are connected to the laser communication control device 103. The laser communication control device 103 is used to predict the link quality level and identify the interference type of the received data to obtain an anti-interference strategy. The laser communication device 104 adjusts the communication transmission parameters based on the predicted link quality level and the anti-interference algorithm strategy.

[0063] In the specific implementation process, the environmental monitoring device 101 is used to acquire environmental data (such as electromagnetic interference, atmospheric turbulence intensity, etc.) in the current laser communication scenario in real time, and the laser communication parameter sensor 102 is used to collect channel status data (such as received optical power, beam drift, bit error rate, etc.) of the laser communication link in real time. Both the environmental monitoring device 101 and the laser communication parameter sensor 102 establish communication connections with the laser communication control device 103 to synchronously transmit the collected environmental data and channel status data to the laser communication control device 103.

[0064] After receiving environmental data and channel status data, the laser communication control device 103 first performs preprocessing operations on them, such as outlier removal, noise filtering, and data normalization, thereby eliminating environmental interference and measurement errors and obtaining standardized communication status data with higher signal-to-noise ratio and clearer features.

[0065] Based on preprocessed standardized data, the laser communication control device 103 performs link quality level prediction and interference type identification operations: The link quality prediction module integrated in the laser communication control device 103 uses a long short-term memory network model to extract features and predict trends from multi-dimensional time-series data, thus classifying the quality level of the current laser communication link; At the same time, the anti-interference algorithm fusion module integrated in the laser communication control device 103 accurately identifies the types of interference (such as atmospheric turbulence interference, meteorological attenuation interference, and electromagnetic interference) in the link based on the link quality prediction results and channel characteristics, and matches an anti-interference strategy that integrates multiple algorithms to generate anti-interference control instructions that include parameter adjustment rules.

[0066] The parameter mapping library integrated in the laser communication control device 103 pre-stores communication parameter adjustment rules corresponding to different link quality levels and different interference types, providing a standardized mapping basis for the generation of anti-interference strategies. The parameter adaptive adjustment module integrated in the laser communication control device 103 combines the link quality prediction level, interference type identification results and parameter mapping library rules to optimize the control commands and generate communication parameter adjustment commands that are adapted to the current link status.

[0067] The laser communication device 104 is communicatively connected to the laser communication control device 103. Based on the link quality prediction level and anti-interference algorithm strategy output by the laser communication control device 103, the transmission parameters of the laser communication are dynamically adjusted, including but not limited to the transmission power, modulation method, coding rate, phase compensation parameters and beam pointing parameters. After performing parameter adjustment, the laser communication device 104 feeds back real-time transmission status data (such as bit error rate, transmission rate, etc.) to the channel status monitoring module of the laser communication control device 103 to form a closed-loop control and continuously optimize the anti-interference capability and communication stability of the laser communication system.

[0068] It should be noted that, Figure 1 The schematic diagram shown is merely an example. The laser communication control and scenarios described in this application are intended to more clearly illustrate the technical solutions of this application and do not constitute a limitation on the technical solutions provided in this application. As those skilled in the art will know, with the evolution of the system and the emergence of new business scenarios, the technical solutions provided in this application are also applicable to similar technical problems.

[0069] The technical solutions of this application will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0070] Figure 2 A flowchart illustrating the laser communication control method provided in the embodiments of this application. Figure 1 .like Figure 2 As shown, the method may include:

[0071] 201. Acquire first data; the first data includes channel state data and environmental data; the channel state data includes at least one of the following: received optical power, beam drift, bit error rate, and visibility; the environmental data includes at least one of the following: meteorological data and electromagnetic interference data.

[0072] The execution entity in this embodiment can be a laser communication control device, or software on a laser communication control device. For example... Figure 1 The laser communication control device 103 shown.

[0073] In this embodiment, the first data is the basic input information for the laser communication control process. For example, channel status data can be used to reflect the real-time operating status of the laser communication link, and may include received optical power, beam drift, bit error rate, and visibility. Received optical power is the power of the optical signal collected by the receiver, which can directly reflect signal strength and transmission loss. Beam drift is the value of the laser deviating from a preset trajectory, which can be used to characterize the degree of external disturbance to the beam. The bit error rate is the ratio of erroneous symbols to total transmitted symbols, which can measure the reliability of signal transmission. Visibility can be used to represent atmospheric visibility distance; the lower the value, the more severe the attenuation of the laser signal due to weather conditions. As another example, environmental data can be used to present the external conditions of the communication, and may include meteorological data and electromagnetic interference data. Meteorological data characterizes the atmospheric environment and can reflect the degree of laser signal attenuation due to weather conditions; electromagnetic interference data reflects the intensity of spatial electromagnetic radiation and can reflect the degree of electromagnetic interference affecting the communication signal.

[0074] During implementation, channel status and environmental data can be acquired through various methods. This includes collecting channel status and environmental conditions data via independent sensor hardware; reading relevant statistical information from the internal system of the laser communication equipment; and obtaining complete initial data through multi-device data fusion and intelligent algorithm derivation. The acquired initial data can be presented in various forms, such as real-time values ​​and time-series variation curves. Subsequent preprocessing operations, such as denoising, normalization, and time synchronization, can transform it into effective data that can be used for link quality prediction and anti-interference strategy matching, ensuring reliable support for subsequent communication parameter adjustments and link optimization.

[0075] 202. Based on the first data, determine the link quality prediction level and interference type; the link quality prediction level represents the link quality change trend if the current first communication parameter remains unchanged within a preset time period in the future.

[0076] In this embodiment, the first data is analyzed and processed to identify interference characteristics affecting link stability, thereby predicting future trends in link quality. Specifically, the link quality prediction level is used to grade and evaluate the future transmission quality of the link, and the interference type is used to identify the forms of interference that degrade the link. Both are based on multi-dimensional detection data and obtained through time-series prediction models or interference feature matching rules, providing a basis for subsequent anti-interference strategy selection and adaptive parameter adjustment.

[0077] Link quality prediction levels can be used to classify the future transmission quality of a link into levels of excellence and inferiority. These levels can be determined based on parameters such as received optical power, beam drift, bit error rate, and visibility. For example, when the received power is greater than or equal to -25 dBm, the beam drift is less than or equal to 8 μrad, the bit error rate is less than or equal to 1 x 10^-8, and the visibility is greater than or equal to 12 km, the link quality level can be determined as excellent.

[0078] Interference types can be used to identify the forms of interference that degrade the link. For example, when the beam drift exceeds a preset threshold and this excessive state continues for a preset duration, it can be identified as atmospheric turbulence interference. Setting the duration can effectively filter out non-continuous instantaneous disturbances and improve the reliability of interference identification. When atmospheric visibility decreases and the received optical power decays rapidly, it can be identified as meteorological attenuation interference. This interference is caused by the absorption and scattering of the laser signal by meteorological environmental factors, resulting in a reduction in signal transmission energy. When the bit error rate suddenly changes abnormally, and the beam drift and received optical power remain within a stable range, it can be identified as electromagnetic interference. This interference is caused by external electromagnetic radiation acting on the signal demodulation stage, which will cause data transmission errors but will not affect the transmission state of the laser signal itself.

[0079] For example, in the specific implementation process, the processing of the first data can be divided into two main steps: link quality prediction and interference type identification. Link quality prediction can employ time-series prediction models or sliding window trend fitting algorithms, aiming to infer future link changes based on current data, thereby improving the timeliness and accuracy of the prediction. Interference type identification, based on preset thresholds and feature judgment rules, distinguishes between atmospheric turbulence interference, meteorological attenuation interference, and electromagnetic interference types through methods such as received optical power, beam drift, bit error rate, and visibility, ultimately obtaining a clear interference classification. In addition, to ensure the reliability of subsequent strategy matching, post-processing operations such as confidence verification, outlier removal, or multi-frame data smoothing can be performed on the prediction results.

[0080] 203. Obtain anti-interference strategies from a pre-defined anti-interference algorithm library based on the type of interference; the anti-interference strategy includes one or more anti-interference algorithms.

[0081] In this embodiment, preset matching rules or intelligent algorithms can be used to associate the identified interference types with algorithms in the anti-interference algorithm library, select anti-interference algorithms that can specifically suppress the current interference, and combine them to form a complete anti-interference strategy.

[0082] The anti-interference algorithm library can be a collection of algorithms that are pre-built, stored, and adapted to various types of link interference, with built-in dedicated anti-interference algorithms for atmospheric turbulence interference, meteorological attenuation interference, and electromagnetic interference.

[0083] The matching anti-interference strategy can automatically select and call one or more suitable algorithms from the anti-interference algorithm library based on the identified interference type, forming an anti-interference scheme that can be directly executed.

[0084] For example, in the specific implementation process, firstly, a feature matching algorithm can be used to extract features from the identified interference types to obtain interference feature vectors (such as interference intensity, interference frequency, interference duration, etc.).

[0085] To improve matching accuracy and avoid introducing redundant algorithms, a threshold screening method can be used to quantify the interference feature vector, screen out the core interference features that affect link quality, and eliminate the influence of irrelevant interference parameters.

[0086] The quantized interference feature vector is compared and matched with the algorithm features in the anti-interference algorithm library to select one or more anti-interference algorithms suitable for the current interference type. These algorithms are then combined to form an anti-interference strategy. Specifically, for atmospheric turbulence interference, an adaptive optics phase compensation algorithm is selected to correct beam drift; for meteorological attenuation interference, a power adaptive enhancement algorithm is selected to dynamically increase transmission power; and for electromagnetic interference, a turbo code-low-density parity-check (Turbo-LDPC) concatenated coding algorithm is selected to enhance data anti-interference capabilities. This strategy effectively integrates targeted anti-interference algorithms, significantly improving interference suppression. Various types of interference can be effectively suppressed, thereby improving the adaptability of the anti-interference strategy and the stability of link transmission. Subsequently, the obtained anti-interference strategy can be fed into the parameter adaptation stage, providing an algorithmic basis for the adaptive adjustment of communication parameters.

[0087] 204. Determine the basic communication parameter set based on the link quality prediction level, adapt the basic communication parameter set according to the interference strategy to obtain the second communication parameter, and generate communication control commands based on the second communication parameter.

[0088] In this embodiment, a set of basic communication parameters adapted to the current link state can be determined by using a preset parameter mapping relationship or an adaptive adjustment algorithm, combined with the link quality prediction level. Then, the basic parameters are optimized and adjusted in a targeted manner according to the anti-interference strategy to obtain the second communication parameters adapted to the interference scenario. Finally, a communication control command that can be directly issued is generated, which transforms the anti-interference strategy into a specific communication parameter configuration. By dynamically adjusting the parameters to adapt to the link state and interference scenario, the laser communication link can be stably transmitted, realizing closed-loop optimization of link quality and providing a clear control basis for the operation of the laser communication equipment.

[0089] In some embodiments, the determination of the basic communication parameter set and the adaptation of the second communication parameters can be achieved through a parameter mapping algorithm or an adaptive optimization algorithm.

[0090] For example, in the specific implementation process, firstly, a parameter matching algorithm can be used to retrieve the corresponding basic communication parameter set (such as modulation method, transmission power, coding rate and other core parameters) from the preset parameter mapping library based on the link quality prediction level, to ensure that the basic parameters are adapted to the current link quality level.

[0091] To improve the accuracy of parameter adaptation and meet anti-interference requirements, parameter optimization algorithms can be used. Combined with the algorithm requirements of anti-interference strategies, targeted adjustments can be made to various parameters in the basic communication parameter set, such as adjusting the transmission power level, optimizing the coding method, and adjusting the symbol rate, in order to offset the impact of interference on the link.

[0092] The optimized parameters are designated as the second communication parameters. Based on these parameters, standardized communication control commands are generated, containing specific configuration values ​​and execution requirements for each parameter. These commands can be directly sent to the laser communication equipment, ensuring it operates according to the optimized parameters. This significantly improves interference suppression and link transmission stability, achieving precise linkage between anti-interference strategies and communication parameters. Subsequently, the generated communication control commands can be sent to the laser communication equipment, triggering parameter adjustment operations and completing adaptive optimization of the link parameters.

[0093] The method provided in this embodiment effectively overcomes the severe impact of sample surface differences on the stability of laser-induced fluorescence detection by introducing surface state sensing and adaptive adjustment of laser parameters. It ensures that the effective excitation conditions acting on the material remain relatively consistent regardless of sample surface variations, thereby obtaining highly comparable and repeatable fluorescence signals. This significantly improves the robustness, repeatability, and accuracy of the detection method in practical industrial applications, enabling it to adapt to complex and non-ideal real-world sample surface conditions.

[0094] The laser communication control method provided in this application collects first data composed of channel state data and environmental data to predict future trends in link quality and identify interference types. This allows for proactive responses before communication degradation occurs, significantly improving the stability and anti-interference capabilities of laser communication in complex environments. By matching corresponding anti-interference algorithms based on interference types and forming a combined strategy, precise suppression of different types of interference is achieved, avoiding the problem of insufficient adaptability of single anti-interference methods. Finally, basic communication parameters are determined based on the predicted link quality level, and these parameters are adaptively adapted and optimized according to the anti-interference strategy to generate targeted communication control commands, thereby achieving efficient, robust, and adaptive closed-loop control of laser communication.

[0095] In some embodiments, determining the predicted link quality level and interference type based on the first data includes:

[0096] The type of interference is determined based on the first data; the first data is input into the first prediction model to obtain the link quality prediction level.

[0097] Alternatively, the first data can be input into the second prediction model to obtain the prediction results; the prediction results include the link quality prediction level and the type of interference.

[0098] In this embodiment, there are multiple methods for link quality prediction and interference type identification.

[0099] In one feasible approach, a step-by-step discrimination method can be employed. For example, beam drift, received optical power, and bit error rate characteristics can be extracted from the first data, and interference type determination can be completed according to preset threshold rules. Then, the first data is input into a first prediction model specifically designed for time-series trend prediction. This model can learn the link quality change patterns based on historical channel data and environmental data, predict the link quality trend when communication parameters remain unchanged within a preset time period, and output the corresponding link quality prediction level. This method allows for independent optimization of the interference identification and quality prediction modules, facilitating the improvement of the accuracy of both determinations.

[0100] Another feasible approach is to use end-to-end synchronous prediction. For example, a second prediction model integrating classification and regression functions can be pre-trained. The complete first dataset is then directly input into the model, which, through deep feature mining, simultaneously outputs the predicted link quality level and interference type. This method reduces the data processing chain, minimizes the cumulative error caused by step-by-step processing, and improves overall discrimination efficiency.

[0101] In another feasible approach, the two methods described above can be combined to form a hierarchical discrimination process. First, a preliminary determination of the interference type can be quickly completed using threshold rules to obtain a preliminary discrimination result. Then, the initial data and the preliminary discrimination result are input into a prediction model to conduct refined verification and link quality prediction, balancing real-time identification with judgment accuracy.

[0102] It should be noted that the combination method is not limited to hierarchical discrimination. In another implementation, a parallel discrimination and result fusion strategy can also be adopted. For example, two sets of link quality prediction levels and interference types can be obtained through rule-based judgment and model prediction, respectively. Then, they can be dynamically weighted and fused based on indicators such as confidence level and historical discrimination accuracy to obtain the final discrimination result.

[0103] The method provided in this embodiment offers a variety of discrimination paths based on different principles, which can be used independently or in combination. The step-by-step discrimination method is simple to implement and facilitates independent module optimization; the synchronous prediction method is highly efficient and adaptable to complex data scenarios. Combining the two can balance efficiency and accuracy, significantly improving the link perception capability in complex weather and turbulent disturbance scenarios.

[0104] In some embodiments, channel state data includes beam drift, received optical power, and bit error rate; determining the type of interference based on the first data includes:

[0105] If the channel state data includes beam drift, and the duration of the beam drift being greater than the first preset threshold is greater than the first preset duration, then the interference type is determined to include atmospheric turbulence interference.

[0106] If the channel state data includes received optical power, and the received optical power is greater than the second preset threshold, and the current visibility is less than the third preset threshold, then the interference type is determined to include weather attenuation interference type.

[0107] If the channel state data includes the bit error rate, and the bit error rate jump amplitude within the first time window is greater than the fourth preset threshold, the fluctuation amplitude of the received optical power is less than the fifth preset threshold, and the beam drift is less than the first preset threshold, then the interference type is determined to include electromagnetic interference.

[0108] This embodiment establishes a multi-dimensional feature joint discrimination mechanism to accurately distinguish three types of typical interference.

[0109] In one feasible approach, atmospheric turbulence interference is identified. Atmospheric turbulence causes irregular beam shifts; by continuously monitoring the beam drift, the presence of such interference can be determined when the drift exceeds a threshold and persists for an extended period.

[0110] Another feasible approach is to identify weather-related attenuation interference. Severe weather conditions such as rain, snow, fog, and haze can cause rapid loss of optical power, accompanied by a significant decrease in visibility. By using both power attenuation rate and visibility as dual indicators, weather-related attenuation interference can be accurately identified.

[0111] In another possible approach, electromagnetic interference is identified. Electromagnetic interference does not affect the beam transmission trajectory or optical power stability; it only causes sudden changes in the signal bit error rate. Based on the parameter fluctuation characteristics within the first time window, the interference can be distinguished.

[0112] The method provided in this embodiment avoids the misjudgment problem caused by single feature discrimination by using multi-parameter joint threshold determination. It can accurately distinguish atmospheric turbulence, meteorological attenuation and electromagnetic interference, improve the robustness of interference identification, and adapt to the ever-changing outdoor communication environment.

[0113] In some embodiments, the anti-interference algorithm library includes adaptive optics phase compensation algorithms corresponding to atmospheric turbulence interference types, power adaptive enhancement algorithms corresponding to meteorological attenuation interference types, and channel coding enhancement algorithms corresponding to electromagnetic interference types; anti-interference strategies are obtained by matching from a preset anti-interference algorithm library according to the interference type, including:

[0114] If the interference type includes atmospheric turbulence interference and meteorological attenuation interference, the anti-interference strategy includes adaptive optics phase compensation algorithm and power adaptive enhancement algorithm.

[0115] If the interference types include atmospheric turbulence interference, meteorological attenuation interference, and electromagnetic interference, then the anti-interference strategies include adaptive optics phase compensation algorithm, power adaptive enhancement algorithm, and channel coding enhancement algorithm.

[0116] In this embodiment, the anti-interference strategy can be flexibly matched according to the interference combination.

[0117] In one feasible approach, a dedicated algorithm is used to match individual types of interference. To address atmospheric turbulence interference, an adaptive optics phase compensation algorithm is employed to correct beam phase shift; to address meteorological attenuation interference, a power adaptive enhancement algorithm is used to compensate for signal loss; and to address electromagnetic interference, a channel coding enhancement algorithm is employed to improve signal error resilience.

[0118] In another feasible approach, a combined algorithm is used for dual-interference scenarios. When atmospheric turbulence and meteorological attenuation are superimposed, two algorithms operate collaboratively to simultaneously cancel out the effects of both types of interference.

[0119] In another feasible approach, three algorithms are integrated to form a comprehensive anti-interference strategy for three types of mixed interference.

[0120] It should be noted that the algorithm combination method is not limited to fixed superposition. In another implementation, the weights of each algorithm can be dynamically adjusted according to the interference intensity, reducing the system's computational load while ensuring anti-interference effectiveness.

[0121] The method provided in this embodiment achieves precise matching between interference types and anti-interference algorithms, enabling multiple algorithms to work together in multiple interference scenarios, comprehensively suppressing the impact of various interferences, and significantly improving the communication stability of the link in complex and harsh environments.

[0122] In some embodiments, a basic communication parameter set is determined based on the link quality prediction level, and the basic communication parameter set is adapted according to an anti-interference strategy to obtain a second communication parameter, including:

[0123] Obtain the preset parameter mapping relationship; the parameter mapping relationship includes the first correspondence between multiple link quality prediction levels and multiple basic parameter communication sets, and the second correspondence between multiple anti-interference strategies and adaptation operations; the basic communication parameter set includes at least the basic modulation method, basic coding rate and basic transmit power; the adaptation operation is used to adjust the basic communication parameter set;

[0124] Based on the first correspondence, the basic communication parameter set is determined according to the link quality prediction level;

[0125] Based on the second correspondence, the basic communication parameter set is adapted according to the anti-interference strategy to obtain the second communication parameters.

[0126] This embodiment employs a two-layer mapping parameter configuration logic, which allows for flexible and diverse implementation methods.

[0127] In one possible implementation, basic parameter matching is completed based on a first correspondence. According to the link quality prediction level, a preset set of basic communication parameters is retrieved to determine the basic configuration of modulation scheme, coding rate, and transmit power.

[0128] In another possible approach, strategy adaptation is achieved based on a second correspondence. Combined with anti-interference strategies, the basic parameters are specifically modified to eliminate the mismatch between parameters and the interference environment.

[0129] In another feasible approach, a serial parameter optimization process is employed. First, the basic parameters are determined, then corrections are made using anti-interference strategies, and the second set of communication parameters with greater adaptability is obtained through step-by-step optimization.

[0130] It should be noted that parameter mapping calls are not limited to sequential execution. In another implementation, two types of mapping relationships can be invoked in parallel, and parameter configuration schemes can be fused through a decision model to further improve parameter adaptation efficiency.

[0131] The method provided in this embodiment completes parameter configuration and optimization through standardized mapping relationships, enabling communication parameters to adapt to both link quality and interference scenarios, balancing communication transmission efficiency and link stability, and improving the standardization and real-time performance of parameter adjustments.

[0132] In some embodiments, based on the second correspondence, the basic communication parameter set is adapted according to an anti-interference strategy to obtain the second communication parameters, including:

[0133] If the interference strategy includes a power adaptive enhancement algorithm corresponding to the meteorological attenuation interference type, then the transmit power level in the basic communication parameter set will be adjusted to the third transmit power level; the third transmit power is greater than the basic transmit power.

[0134] If the interference strategy includes coding enhancement algorithms corresponding to the electromagnetic interference type, then the coding method in the basic communication parameter set will be adapted to a concatenated coding algorithm of turbine code and parity check code.

[0135] If the interference strategy includes an adaptive optics phase compensation algorithm corresponding to the atmospheric turbulence interference type, then a phase correction control command is generated based on the beam drift.

[0136] If the interference strategy includes multiple algorithms, the basic communication parameter set is adjusted based on preset rules. The preset rules include at least one of the following: the adjustment priority of the channel coding enhancement algorithm is greater than the adjustment priority of the power adaptive enhancement algorithm; the maximum power of the transmission power corresponding to each algorithm is taken as the transmission power in the second communication parameter; the coding method with the strongest anti-interference capability among the coding methods corresponding to each algorithm is taken as the coding method in the second communication parameter.

[0137] This embodiment develops a dedicated adaptation scheme for different algorithms and resolves the problem of parameter conflicts among multiple algorithms.

[0138] In one feasible approach, a single algorithm adapts the parameters. This includes increasing transmit power to address weather attenuation, switching cascaded coding to cope with electromagnetic interference, and generating phase correction commands to address atmospheric turbulence.

[0139] In another possible approach, multiple algorithms collaboratively adapt parameters. Inconsistencies are resolved according to preset rules, priority is given to encoding enhancement adjustments, the highest power among the requirements of each algorithm is selected, and the encoding method with the best anti-interference capability is chosen.

[0140] In another possible approach, a verification step is added after parameter adjustment to prevent link fluctuations caused by excessive parameter adjustments.

[0141] It should be noted that the parameter adjustment rules are not limited to fixed priorities. In another implementation, the rule weights can be dynamically adjusted according to the interference intensity to adapt to communication environments of varying severity.

[0142] The method provided in this embodiment adjusts parameters to meet anti-interference requirements, and preset rules can solve the problem of conflicting parameters of multiple algorithms, prevent frequent parameter oscillations, ensure stable system operation, and maximize the anti-interference effect.

[0143] In some embodiments, based on the first correspondence, a basic communication parameter set is determined according to the link quality prediction level, including:

[0144] If the link quality prediction level is Level 1, the corresponding basic communication parameter set includes orthogonal amplitude modulation method, first coding rate and first transmit power;

[0145] If the link quality prediction level is level two, the corresponding basic communication parameter set includes phase shift keying modulation mode, second coding rate and second transmit power; the first coding rate is greater than the second coding rate and the first transmit power is less than the second transmit power.

[0146] This embodiment introduces a link quality quantification and grading and parameter matching mechanism to further refine the communication parameter configuration logic.

[0147] In actual operation, the link quality level can be classified using four indicators: received optical power, beam drift, bit error rate, and visibility. Excellent and good levels are collectively classified as Level 1, while medium and poor levels are classified as Level 2. When the link quality level is Level 1, orthogonal amplitude modulation (AEM) is used with a high coding rate and low transmit power to fully utilize the excellent link conditions and improve data transmission efficiency. When the link quality level is Level 2, a phase shift keying (PSK) modulation method with stronger anti-interference performance is switched to, reducing the coding rate and increasing the transmit power to prioritize link connectivity and stability.

[0148] The specific quantitative grading rules are as follows:

[0149] When the received power is greater than or equal to -25 dBm, the beam drift is less than or equal to 8 μrad, the bit error rate is less than or equal to 1 × 10 to the power of -8, and the visibility is greater than or equal to 12 km, the link quality is judged to be excellent.

[0150] When the received power is greater than or equal to -30dBm and less than -25dBm, the beam drift is greater than 8μrad and less than or equal to 12μrad, the bit error rate is greater than 1 x 10^-8 and less than or equal to 1 x 10^-7, and the visibility is greater than or equal to 8km and less than 12km, the link quality is judged to be good.

[0151] When the received power is greater than or equal to -35dBm and less than -30dBm, the beam drift is greater than μrad and less than or equal to 16μrad, the bit error rate is greater than 1 x 10^-7 and less than or equal to 1 x 10^-6, and the visibility is greater than or equal to 5km and less than 8km, the link quality is judged to be medium level.

[0152] When the received power is less than -35dBm, the beam drift is greater than 16μrad, the bit error rate is greater than 1 multiplied by 10 to the power of -6, and the visibility is less than 5km, the link quality is judged to be poor.

[0153] The system can automatically match the corresponding parameter combinations based on the above classification results, or fine-tune the parameters of the internal subdivision levels under the two-level classification framework to achieve more refined adaptive control.

[0154] The method provided in this embodiment completes link quality classification through quantitative indicators, provides a clear basis for configuring basic communication parameters, maximizes transmission efficiency when the link condition is good, ensures communication reliability when the link condition is poor, achieves an intelligent balance between efficiency and stability, and improves the system's adaptive operation capability in complex outdoor environments.

[0155] Figure 3 This is a schematic diagram illustrating the working principle of the laser communication control method according to an embodiment of this application. Figure 3As shown, the control system includes a channel status monitoring module, a link quality prediction module, an anti-interference algorithm fusion module, a parameter mapping library, a parameter adaptive adjustment module, a data transmission control module, and laser communication equipment. The system comprises the following modules: a channel state monitoring module, which collects transmission status and meteorological monitoring data from the laser communication equipment and integrates them to form first data containing channel state and environmental data; a link quality prediction module, connected to the channel state monitoring module, analyzes the first data using a time-series prediction model (e.g., a long short-term memory network) and outputs the link quality prediction level and interference type; an anti-interference algorithm fusion module, connected to the link quality prediction module, matches corresponding algorithms from a preset anti-interference algorithm library based on the interference type to form a multi-algorithm collaborative anti-interference strategy; a parameter mapping library, connected to the parameter adaptive adjustment module, provides preset parameter adjustment rules; a parameter adaptive adjustment module, connected to both the anti-interference algorithm fusion module and the parameter mapping library, determines the basic communication parameter set based on the link quality prediction level and adapts and optimizes it according to the anti-interference strategy to generate second communication parameters; a data transmission control module, connected to the parameter adaptive adjustment module, generates control commands based on the second communication parameters and sends them to the laser communication equipment; and a laser communication equipment, connected to both the data transmission control module and the channel state monitoring module, performs parameter adjustments and feeds back the real-time transmission status to the channel state monitoring module, forming a complete closed-loop control and realizing dynamic adaptive optimization of the laser communication link.

[0156] Figure 4 A flowchart illustrating the adaptive matching method for laser communication parameters provided in this application embodiment. Figure 2 .like Figure 4As shown, in the process of dynamic optimization of communication parameters, initial data transmission is initiated by combining environmental data D / E / F / G. During transmission, the transmission status is monitored in real time, and channel data is collected synchronously. These two types of data are input into the link quality prediction module, which outputs a link quality prediction level based on changes in channel and transmission status. This level is divided into four grades: excellent, good, medium, and poor. Subsequently, the level determination stage is entered, matching corresponding communication parameter configurations according to different link quality prediction levels: when the level is excellent, 16-QAM modulation, high-speed coding, and standard power are used to maximize transmission efficiency; when the level is good, Quadrature Phase Shift Keying (QPSK) modulation, medium-speed coding, and standard power are used to balance transmission efficiency and link stability; when the level is medium, QPSK modulation, low-speed coding, and enhanced power are used to improve the link's anti-interference capability; when the level is poor, Binary Phase Shift Keying (BPSK) is used. Keying (BPSK) modulation, minimum speed coding, and maximum power are used to prioritize communication connectivity. The matched parameters are then applied to the next round of data transmission, forming a closed-loop iterative process that continuously and dynamically optimizes communication parameters to achieve efficient and stable operation of the laser communication link under different quality scenarios.

[0157] Figure 5 This is a schematic diagram of the structure of a laser communication control device provided in an embodiment of this application. Figure 5 As shown, the laser communication control device 50 may include: an acquisition module 501, a prediction module 502, an anti-interference module 503, and a processing module 504.

[0158] Acquisition module 501: used to acquire first data; the first data includes channel state data and environmental data; the channel state data includes at least one of the following: received optical power, beam drift, bit error rate, and visibility; the environmental data includes at least one of the following: meteorological data and electromagnetic interference data;

[0159] Prediction module 502: Used for the first data to determine the link quality prediction level and anti-interference type; the link quality prediction level represents the link quality change trend if the current first communication parameters remain unchanged within a preset time period in the future;

[0160] Anti-interference module 503: used to match the interference type from a preset anti-interference algorithm library to obtain an anti-interference strategy; the anti-interference strategy includes one or more anti-interference algorithms;

[0161] Processing module 504: used to determine the basic communication parameter set based on the link quality prediction level, adapt the basic communication parameter set according to the anti-interference strategy, obtain the second communication parameter, and generate communication control commands based on the second communication parameter.

[0162] The laser communication control device provided in this application collects first data composed of channel state data and environmental data to predict future trends in link quality and identify interference types. This allows for proactive responses before communication degradation occurs, significantly improving the stability and anti-interference capabilities of laser communication in complex environments. Furthermore, by matching corresponding anti-interference algorithms to interference types and forming a combined strategy, precise suppression of different types of interference is achieved, avoiding the problem of insufficient adaptability of single anti-interference methods. Finally, basic communication parameters are determined based on the predicted link quality level, and these parameters are adaptively adapted and optimized according to the anti-interference strategy to generate targeted communication control commands, thereby achieving efficient, robust, and adaptive closed-loop control of laser communication.

[0163] In some embodiments, the prediction module 502 is specifically used for:

[0164] The type of interference is determined based on the first data, and the first data is input into the first prediction model to obtain the link quality prediction level.

[0165] Alternatively, the first data can be input into the second prediction model to obtain the prediction results, which include the predicted link quality level and interference type.

[0166] In some specific embodiments, the prediction module 502 is specifically used for:

[0167] If the channel state data includes beam drift, and the duration of the beam drift being greater than the first preset threshold is greater than the first preset duration, then the interference type is determined to include atmospheric turbulence interference.

[0168] If the channel state data includes received optical power, and the received optical power is greater than the second preset threshold, and the current visibility is less than the third preset threshold, then the interference type is determined to include weather attenuation interference type.

[0169] If the channel state data includes the bit error rate, and the bit error rate jump amplitude within the first time window is greater than the fourth preset threshold, the fluctuation amplitude of the received optical power is less than the fifth preset threshold, and the beam drift is less than the first preset threshold, then the interference type is determined to include electromagnetic interference.

[0170] In some embodiments, the anti-interference module 503 is specifically used for:

[0171] If the interference type includes atmospheric turbulence interference and meteorological attenuation interference, the anti-interference strategy includes adaptive optics phase compensation algorithm and power adaptive enhancement algorithm.

[0172] If the interference types include atmospheric turbulence interference, meteorological attenuation interference, and electromagnetic interference, then the anti-interference strategies include adaptive optics phase compensation algorithm, power adaptive enhancement algorithm, and channel coding enhancement algorithm.

[0173] In some embodiments, the processing module 504 is specifically used for:

[0174] Obtain the preset parameter mapping relationship; the parameter mapping relationship includes the first correspondence between multiple link quality prediction levels and multiple basic parameter communication sets, and the second correspondence between multiple anti-interference strategies and adaptation operations; the basic parameter communication set includes at least the basic modulation method, basic coding rate and basic transmit power; the adaptation operation is used to adjust the basic parameter communication set;

[0175] Based on the first correspondence, the basic communication parameter set is determined according to the link quality prediction level;

[0176] Based on the second correspondence, the basic communication parameter set is adapted according to the anti-interference strategy to obtain the second communication parameters.

[0177] In some embodiments, the processing module 504 is specifically used for:

[0178] If the anti-interference strategy includes a power adaptive enhancement algorithm corresponding to the meteorological attenuation interference type, then the transmit power level in the basic communication parameter set will be adjusted to the third transmit power level; the third transmit power is greater than the basic transmit power.

[0179] If the anti-interference strategy includes coding enhancement algorithms corresponding to electromagnetic interference types, then the coding method in the basic communication parameter set will be adapted to a concatenated coding algorithm of turbine code and parity check code.

[0180] If the anti-interference strategy includes an adaptive optics phase compensation algorithm corresponding to the atmospheric turbulence interference type, then a phase correction control command is generated based on the beam drift.

[0181] If the anti-interference strategy includes multiple algorithms, the basic communication parameter set is adjusted based on preset rules; the preset rules include at least one of the following:

[0182] The adjustment priority of the channel coding enhancement algorithm is higher than that of the power adaptive enhancement algorithm;

[0183] The maximum power among the transmission powers corresponding to each algorithm is used as the transmission power in the second communication parameter;

[0184] The encoding method with the strongest anti-interference capability among the encoding methods corresponding to each algorithm is used as the encoding method in the second communication parameter.

[0185] In some embodiments, the processing module 504 is specifically used for:

[0186] If the link quality prediction level is Level 1, the corresponding basic communication parameter set includes orthogonal amplitude modulation method, first coding rate and first transmit power;

[0187] If the link quality prediction level is level two, the corresponding basic communication parameter set includes phase shift keying modulation mode, second coding rate and second transmit power; the first coding rate is greater than the second coding rate; the first transmit power is less than the second transmit power.

[0188] The data processing device provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0189] Figure 6 A schematic diagram of the structure of the electronic device provided in this application. Figure 6 As shown, the electronic device 60 provided in this embodiment may include at least one processor 601 and a memory 602. Optionally, the electronic device 60 may further include a communication component 603. The processor 601, memory 602, and communication component 603 are connected via a bus.

[0190] In a specific implementation, at least one processor 601 executes computer execution instructions stored in memory 602, causing at least one processor 601 to perform the above-described method.

[0191] The specific implementation process of processor 601 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0192] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0193] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0194] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0195] This application also provides a laser communication system, including: a sensor, an environmental monitoring device, a laser communication device, and a laser communication control device as described in the above embodiments; the sensor is used to collect channel state data; the environmental monitoring device is used to collect environmental data; the laser communication control device is connected to the sensor and the environmental monitoring device and is used to generate communication control commands based on the channel state data and the environmental data; the laser communication device is connected to the laser communication control device and is used to perform data communication based on the communication control commands.

[0196] The system provided in this application, by collecting first data composed of channel state data and environmental data, predicts future trends in link quality and identifies interference types. This allows for proactive responses before communication degradation occurs, significantly improving the stability and anti-interference capabilities of laser communication in complex environments. By matching corresponding anti-interference algorithms to interference types and forming combined strategies, it achieves precise suppression of different types of interference, avoiding the problem of insufficient adaptability of single anti-interference methods. Finally, it determines basic communication parameters based on the predicted link quality level and adaptively adapts and optimizes these parameters according to the anti-interference strategy, generating targeted communication control commands to achieve efficient, robust, and adaptive closed-loop control of laser communication.

[0197] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0198] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0199] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0200] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0201] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0202] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0203] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0204] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0205] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0206] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A laser communication control method, characterized in that, include: Acquire first data; the first data includes channel state data and environmental data; the channel state data includes at least one of the following: received optical power, beam drift, bit error rate, and visibility; the environmental data includes at least one of the following: meteorological data and electromagnetic interference data; Based on the first data, the link quality prediction level and interference type are determined; the link quality prediction level represents the link quality change trend if the current first communication parameter remains unchanged within a preset time period in the future. Anti-interference strategies are obtained by matching from a preset anti-interference algorithm library according to the type of interference; the anti-interference strategy includes one or more anti-interference algorithms. The basic communication parameter set is determined based on the link quality prediction level, and the basic communication parameter set is adapted according to the anti-interference strategy to obtain the second communication parameter. Communication control instructions are generated based on the second communication parameter.

2. The method according to claim 1, characterized in that, The step of determining the link quality prediction level and interference type based on the first data includes: The type of interference is determined based on the first data; the first data is input into the first prediction model to obtain the link quality prediction level; Alternatively, the first data can be input into a second prediction model to obtain prediction results; the prediction results include the link quality prediction level and interference type.

3. The method according to claim 1, characterized in that, The channel state data includes beam drift, received optical power, and bit error rate; determining the interference type based on the first data includes: If the channel state data includes the beam drift, and the duration of the beam drift being greater than the first preset threshold is greater than the first preset duration, then the interference type is determined to include atmospheric turbulence interference. If the channel state data includes the received optical power, and the received optical power is greater than a second preset threshold, and the current visibility is less than a third preset threshold, then the interference type is determined to include weather attenuation interference type. If the channel state data includes the bit error rate, and the fluctuation amplitude of the bit error rate within the first time window is greater than a fourth preset threshold, the fluctuation amplitude of the received optical power is less than a fifth preset threshold, and the beam drift is less than the first preset threshold, then the interference type is determined to include electromagnetic interference.

4. The method according to claim 1, characterized in that, The anti-interference algorithm library includes adaptive optics phase compensation algorithm for atmospheric turbulence interference type, power adaptive enhancement algorithm for meteorological attenuation interference type, and channel coding enhancement algorithm for electromagnetic interference type. The step of obtaining an anti-interference strategy from a preset anti-interference algorithm library based on the interference type includes: If the interference type includes atmospheric turbulence interference and meteorological attenuation interference, then the anti-interference strategy includes the adaptive optics phase compensation algorithm and the power adaptive enhancement algorithm. If the interference type includes atmospheric turbulence interference, meteorological attenuation interference, and electromagnetic interference, then the anti-interference strategy includes the adaptive optics phase compensation algorithm, the power adaptive enhancement algorithm, and the channel coding enhancement algorithm.

5. The method according to any one of claims 1-4, characterized in that, The step of determining a basic communication parameter set based on the predicted link quality level, and adapting the basic communication parameter set according to the anti-interference strategy to obtain a second communication parameter includes: Obtain a preset parameter mapping relationship; the parameter mapping relationship includes a first correspondence between multiple link quality prediction levels and multiple basic parameter communication sets, and a second correspondence between multiple anti-interference strategies and adaptation operations; the basic parameter communication set includes at least a basic modulation scheme, a basic coding rate, and a basic transmit power; the adaptation operation is used to adjust the basic parameter communication set; Based on the first correspondence, a basic communication parameter set is determined according to the link quality prediction level; Based on the second correspondence, the basic communication parameter set is adapted according to the anti-interference strategy to obtain the second communication parameters.

6. The method according to claim 5, characterized in that, The step of adapting the basic communication parameter set according to the anti-interference strategy based on the second correspondence to obtain the second communication parameters includes: If the anti-interference strategy includes a power adaptive enhancement algorithm corresponding to the meteorological attenuation interference type, then the transmission power level in the basic communication parameter set is adjusted to the third transmission power level; the third transmission power is greater than the basic transmission power. If the anti-interference strategy includes a coding enhancement algorithm corresponding to the electromagnetic interference type, then the coding method in the basic communication parameter set will be adapted to a concatenated coding algorithm of turbine code and parity check code. If the anti-interference strategy includes an adaptive optics phase compensation algorithm corresponding to the atmospheric turbulence interference type, then a phase correction control command is generated based on the beam drift. If the anti-interference strategy includes multiple algorithms, the basic communication parameter set is adjusted based on preset rules; the preset rules include at least one of the following: The adjustment priority of the channel coding enhancement algorithm is higher than that of the power adaptive enhancement algorithm; The maximum power among the transmission powers corresponding to each algorithm is used as the transmission power in the second communication parameter; The encoding method with the strongest anti-interference capability among the encoding methods corresponding to each algorithm is used as the encoding method in the second communication parameter.

7. The method according to claim 5, characterized in that, The step of determining the basic communication parameter set based on the first correspondence and the link quality prediction level includes: If the link quality prediction level is the first level, the corresponding basic communication parameter set includes orthogonal amplitude modulation method, first coding rate and first transmit power; If the link quality prediction level is the second level, the corresponding basic communication parameter set includes phase shift keying modulation mode, second coding rate and second transmit power; the first coding rate is greater than the second coding rate; the first transmit power is less than the second transmit power.

8. A laser communication control device, characterized in that, include: At least one processor and memory; The memory stores computer-executed instructions; The at least one processor executes computer execution instructions stored in the memory, causing the at least one processor to perform the laser communication control method as described in any one of claims 1 to 7.

9. A laser communication system, characterized in that, include: Sensors, environmental monitoring equipment, laser communication equipment, and the laser communication control equipment as described in claim 8; The sensor is used to collect channel status data; The environmental monitoring equipment is used to collect environmental data; The laser communication control device is connected to the sensor and the environmental detection device, and is used to generate communication control commands based on the channel state data and the environmental data; The laser communication device is connected to the laser communication control device and is used for data communication based on the communication control commands.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by the processor, implement the laser communication control method as described in any one of claims 1 to 7.

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